David King

4.2k citations
182 papers · 2.8k · h-index 24

Impact in

Papers in

David King

165 papers receiving 2.4k citations

Peers

David King
Comparison fields: 5 of 197
  • Catalysis 388
  • Instrumentation 74
  • Astronomy and Astrophysics 301
  • Renewable Energy, Sustainability and the Environment 199
  • Developmental and Educational Psychology 139
Replace Lei Shi with:
Lei Shi China
Yu Pan China
Haifeng Zhang China
Davide Castelvecchi United States
Peter A. Knight United States
Kunihiko Oka Japan
Robert Frank Weiss United States
Tae Wan Kim South Korea
W. J. McGill South Africa
Vittorio Scarano Italy
David King relative to Lei Shi China Lei Shi's profile →
Citations per field
00.5×10×15×21.5×
Lei Shi · 1×
Citations per year

Countries citing papers authored by David King

Since Specialization
Citations

This map shows the geographic impact of David King's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David King more than expected).

Fields of papers citing papers by David King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David King. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David King. The network helps show where David King may publish in the future.

Co-authors

The 25 scholars most cited alongside David King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David King Line = papers co-authored together David King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999286
2 2007171
3 1978170
4 1987145
5 2006136
6 1988107
7 200280
8 198070
9 200869
10 199860
11 198352
12
Natal and neonatal teeth.
199552
13 199952
14 200744
15 196041
16 200937
17 198633
18 198732
19 200831
20 201831

About David King

David King is a scholar working on Electrical and Electronic Engineering, Astronomy and Astrophysics, Artificial Intelligence, Molecular Biology and Developmental and Educational Psychology, having authored 182 papers that have together received 2.8k indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (20 papers), Astrophysics and Star Formation Studies (13 papers), Electric Power System Optimization (9 papers), Catalytic Processes in Materials Science (9 papers), solar cell performance optimization (9 papers), Photovoltaic System Optimization Techniques (8 papers), Energy Load and Power Forecasting (8 papers) and Astro and Planetary Science (7 papers). The work is most often cited by research in Catalysis (388 citations), Instrumentation (74 citations), Astronomy and Astrophysics (301 citations), Renewable Energy, Sustainability and the Environment (199 citations) and Developmental and Educational Psychology (139 citations). David King has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include C.S. Özveren, R. W. Hilditch, Pari Antoniw, Andrew P. Chapman, Mariangela Spitali, Shauna West, Hyun‐Seog Roh, Ya Huei Chin, Y WANG and S. M. Heald. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Catalysis, The Journal of General Psychology and The Psychological Record.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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